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    • Computer Engineering

    Computer Engineering Courses Online

    Master computer engineering for developing computer systems and networks. Understand hardware and software integration, microprocessors, and embedded systems.

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    Explore the Computer Engineering Course Catalog

    • Status: New
      New
      G

      Google Cloud

      Google Cloud에서 생성형 AI를 사용한 웹사이트 현대화

      Skills you'll gain: Generative AI, Web Content, Google Cloud Platform, Prompt Engineering, User Experience Design, Image Analysis, Content Management

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
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      Google Cloud

      在 Google Cloud 運用生成式 AI 翻新網站

      Skills you'll gain: Generative AI, Web Content, Google Cloud Platform, Prompt Engineering, Web Analytics and SEO, Image Analysis, Content Management, Large Language Modeling, User Experience Design, Innovation

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Maestría en Inteligencia Analítica de Datos

      Skills you'll gain: Systems Thinking, Unsupervised Learning, Data Storytelling, Deep Learning, Network Analysis, Data Visualization, Predictive Modeling, MLOps (Machine Learning Operations), Time Series Analysis and Forecasting, Project Management Life Cycle, Data-Driven Decision-Making, Financial Data, Marketing Analytics, Simulations, Descriptive Analytics, Exploratory Data Analysis, Random Forest Algorithm, Data Cleansing, Operations Research, Project Planning

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      G

      Google Cloud

      Integrar aplicativos com o Gemini 1.0 Pro no Google Cloud

      Skills you'll gain: Generative AI, Google Cloud Platform, Application Development, Cloud Applications, Cloud-Based Integration, Prompt Engineering, Application Programming Interface (API)

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Google Cloud における生成 AI を使用したウェブサイトのモダナイゼーション

      Skills you'll gain: Generative AI, AI Personalization, Web Analytics and SEO, Web Content, Prompt Engineering, Google Cloud Platform, User Experience, Content Management

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera

      Facebook Live: Real-Time Engagement

      Skills you'll gain: Facebook, Live Streaming, Drive Engagement, Scheduling, Social Media, Social Media Strategy, Social Media Content, Customer Engagement, Event Planning, Video Production, Content Strategy, Content Development and Management, Technical Support

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      運用 BigQuery 建立嵌入項目、向量搜尋和 RAG

      Skills you'll gain: Generative AI, Big Data, Applied Machine Learning, Query Languages, Natural Language Processing

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
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      Coursera Instructor Network

      Open-Source QA: Cypress, JMeter & xUnit Testing

      Skills you'll gain: JUnit, Test Automation, Unit Testing, Software Testing, Continuous Integration, Performance Testing, Selenium (Software), Quality Assurance, Integration Testing, Test Case, CI/CD, Application Performance Management, Java

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: Object Oriented Design, User Story, SQL, Systems Engineering, Real-Time Operating Systems, New Product Development, Field-Programmable Gate Array (FPGA), Failure Analysis, Delegation Skills, Unsupervised Learning, Sampling (Statistics), Diversity Equity and Inclusion Initiatives, Supplier Management, Sustainability Reporting, Accountability, Data Ethics, Data Mining, Goal Setting, Proposal Writing, Generative AI

      Earn a degree

      Degree · 1 - 4 Years

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Modelos Analíticos para la Toma de Decisiones de Negocio

      Skills you'll gain: Descriptive Analytics, Business Analytics, Statistical Reporting, Dimensionality Reduction, Data Mining, Statistical Modeling, Predictive Modeling, Predictive Analytics, Advanced Analytics, Data Analysis, R Programming, Big Data, Business Intelligence, Analytics, Data Literacy, Data Visualization, Data-Driven Decision-Making, Visualization (Computer Graphics), Data Visualization Software, Statistical Visualization

      Credit offered

      Mastertrack · 6 - 12 Months

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Introducción a la Ciencia de Datos

      Skills you'll gain: Predictive Analytics, Supervised Learning, Data Cleansing, Exploratory Data Analysis, Dimensionality Reduction, Unsupervised Learning, Data Science, Machine Learning Methods, Statistical Machine Learning, Descriptive Analytics, Regression Analysis, Data Visualization, Applied Machine Learning, Machine Learning Algorithms, Data-Driven Decision-Making, Data Processing, Data Literacy, Visualization (Computer Graphics), Data Visualization Software, Statistical Visualization

      Credit offered

      Mastertrack · 6 - 12 Months

    • N

      Northeastern University

      Master of Science in Information Systems

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

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    1…609610611612

    In summary, here are 10 of our most popular computer engineering courses

    • Google Cloud에서 생성형 AI를 사용한 웹사이트 현대화: Google Cloud
    • 在 Google Cloud 運用生成式 AI 翻新網站: Google Cloud
    • Maestría en Inteligencia Analítica de Datos: Universidad de los Andes
    • Integrar aplicativos com o Gemini 1.0 Pro no Google Cloud: Google Cloud
    • Google Cloud における生成 AI を使用したウェブサイトのモダナイゼーション: Google Cloud
    • Facebook Live: Real-Time Engagement: Coursera
    • 運用 BigQuery 建立嵌入項目、向量搜尋和 RAG: Google Cloud
    • Open-Source QA: Cypress, JMeter & xUnit Testing: Coursera Instructor Network
    • Master of Science in Data Science: University of Colorado Boulder
    • Certificado en Modelos Analíticos para la Toma de Decisiones de Negocio: Pontificia Universidad Católica de Chile

    Frequently Asked Questions about Computer Engineering

    Computer engineering is a discipline that combines aspects of electrical engineering and computer science to design, develop, and integrate computer systems and hardware components. It involves the study of computer architecture, digital systems, software development, and the interface between hardware and software. Computer engineers work on the design and implementation of computer systems, microprocessors, embedded systems, networking infrastructure, and other digital devices.‎

    To excel in computer engineering, you need to develop the following skills:

    • Programming: Proficiency in programming languages such as C++, Java, or Python to develop software applications and firmware for hardware systems.
    • Digital Systems Design: Knowledge of digital logic, Boolean algebra, and circuit design to develop and optimize digital systems and hardware components.
    • Computer Architecture: Understanding of computer organization, CPU design, memory systems, and input/output devices.
    • Microprocessors and Embedded Systems: Familiarity with microprocessor architecture, embedded systems design, and programming microcontrollers.
    • Hardware Design: Skills in designing and prototyping digital circuits, printed circuit boards (PCBs), and system-level hardware components.
    • Software Development: Ability to develop software applications, algorithms, and drivers for hardware interfaces.
    • Networking: Knowledge of computer networks, protocols, and network infrastructure design.
    • Signal Processing: Understanding of signal processing techniques for audio, video, and image processing applications.
    • Problem-Solving: Aptitude for analyzing complex problems, troubleshooting hardware and software issues, and proposing effective solutions.
    • Collaboration and Communication: Effective communication and teamwork skills to collaborate with engineers from different disciplines, present ideas, and work in project teams.‎

    With computer engineering skills, you can pursue various job opportunities, including:

    • Computer Hardware Engineer
    • Software Engineer
    • Embedded Systems Engineer
    • Network Engineer
    • FPGA Engineer
    • System Architect
    • Robotics Engineer
    • ASIC Design Engineer
    • Computer Systems Analyst
    • Research Scientist

    These roles involve designing and developing computer hardware systems, software applications, embedded systems, network infrastructure, and contributing to advancements in computer technology.‎

    Computer engineering is well-suited for individuals who possess the following qualities:

    • Strong Analytical Skills: Ability to analyze complex problems, identify system requirements, and propose effective solutions.
    • Mathematical Aptitude: Proficiency in mathematics, including calculus, linear algebra, probability theory, and discrete mathematics.
    • Curiosity and Continuous Learning: Eagerness to stay updated with the latest advancements in computer technology, emerging technologies, and industry trends.
    • Attention to Detail: Meticulousness in designing and testing hardware systems, considering factors such as power consumption, reliability, and performance.
    • Problem-Solving Orientation: Aptitude for breaking down complex problems, applying engineering principles, and developing innovative solutions.
    • Collaboration Skills: Ability to work effectively in teams, collaborate with engineers from different disciplines, and contribute to multidisciplinary projects.
    • Strong Work Ethic: Dedication, discipline, and a passion for designing and building computer systems.
    • Adaptability: Willingness to adapt to changing technology landscapes, new hardware architectures, and emerging paradigms.‎

    Several topics are related to computer engineering that you can study to enhance your skills and knowledge, including:

    • Digital Logic Design
    • Computer Organization and Architecture
    • Microprocessor Systems and Interfacing
    • Embedded Systems Design
    • Computer Networks and Communication
    • Operating Systems
    • VLSI Design and Testing
    • Computer Graphics and Visualization
    • Signal Processing and Multimedia Systems
    • Robotics and Automation

    Exploring these topics through online courses, academic programs, research projects, and practical applications will provide a comprehensive understanding of computer engineering concepts and techniques, enabling you to contribute to the design, development, and innovation of computer systems and technology.‎

    Online Computer Engineering courses offer a convenient and flexible way to enhance your knowledge or learn new Computer Engineering skills. Choose from a wide range of Computer Engineering courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Computer Engineering, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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